• DocumentCode
    2725786
  • Title

    A New Invariant Descriptor For Shape Representation And Recognition

  • Author

    Wang, Xiying ; Dai, Guozhong

  • Author_Institution
    Inst. of Software, Chinese Acad. of Sci., Beijing
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    48
  • Lastpage
    51
  • Abstract
    Traditional Fourier descriptor suffers the drawback of being sensitive to translation, rotation and scale transform. This paper presents a new method of shape representation, polygon Fourier descriptor (PFD), which can achieve the invariance on translation, rotation and scale transform naturally and without need of a process of normalization. By applying polygonal approximation to the contour firstly, the contour can be represented more efficiently. Moreover, PFD is robust enough to represent the contour even if some transformations happened to it. Finally, we apply PFD to the recognition of static gestures and obtain satisfying results
  • Keywords
    Fourier transforms; feature extraction; gesture recognition; image representation; object recognition; contour representation; invariant descriptor; polygon Fourier descriptor; polygonal approximation; shape recognition; shape representation; static gesture recognition; Computational intelligence; Computer errors; Fourier transforms; Image processing; Image recognition; Object recognition; Phase frequency detector; Robustness; Shape; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0707-9
  • Type

    conf

  • DOI
    10.1109/CIISP.2007.369292
  • Filename
    4221393